Powell numpy trabalhos

The freelancer should be able to use libraries in python including Pandas, Numpy, python matplotlib, and other important libraries. I will provide a written project but need help to fix certain bugs. the project is similar to the one in here

I have folder that contains all images that can be inside of the input image. The best match from that folder needs to be found. Prefferably using opencv / numpy, python 3.6 requried

...business requirements and convert them into research tasks, how to use data to find new insights, how to conduct research, how to make conclusions from research. - Skills as a Data Scientist: feature and relationship analysis, tests (t-test + p-test), big data... - My mentor can assign me tasks to improve my skills, review my work, give me feedback, answer questions. I have experience in python, numpy, scipy, pandas, matplotlib... But I am especially finding logical thinking and statistics challenging. I can study in either Vietnamese or English. Mentoring hours would be as follows: 1 weekday, 1 hour from 21:00~22:00 JST, Tokyo Time (fixed) 2 weekends Saturday and Sunday, each lesson for 2 hours (We can talk about this) Total 5 hours per week --------------------------------...

I have  done many data analysis task with use of python programming language libraries such as pandas, numpy,  scitkit learn,  seaborn and also used knime, rapidminer, weka and neurosolution software for data analysis. Data analysis is majorly base on exploratory data analysis (EDA) which illustrate the graphical representation of the data. Since the picture tells more than thousand words. Fill in the data into spreadsheet, the major task is data inputation into spreadsheet into order to have concise and precise data for analysis.

...to other Exchange APIs in the future. This “Broker” object should be able to handle (i) back-end accounting/auditing commands, (ii) order executions, (iii) account update queries, and (iv) data-handling across multiple accounts as detailed below. The logic of the code should prioritize speed of execution over all other factors. Please code the package in python and restrain yourself to using the NumPy and Pandas modules....

Enable all the listed hardware as the attached image. (2xMarvell ETH, MIG-DDR3, SD, QSPI Flash, PS-DDR3, uart) 2. Install Configured Petalinux, with Python, Flask, numpy, Pillow, littleCMS . Boot with QSPI (We will access this board on the Ethernet, make ETH0 DCHP and ETH1 Fixed @ ) 3. Display JPEG/TIFF image file from SD in webpage. 4. Add one function Button, send the Jpeg file to MIG-DDR3, then The PL will take the image from the MIG-DDR3 and retrieve the Red and invert the color, (255-R) . Then the PL will store the inverted Image to MIG-DDR3, when the PS acknowledge it, the PS will readback the new image and store in SD. 4. Adjustable analog waveform on PHP. We have AD5424 on our PL side. Please Set up a 10 Configurable analog waveform. Each waveform is adjustable

More Details about this projet is in attachment. You should write code library "fileinput" and without Numpy.

More Details about this projet is in attachment. You should write code library "fileinput" and without Numpy.

More Details about this projet is in attachment. You should write code library "fileinput" and without Numpy.

Introduction: We are developing an algorithm to react to certain value changes, right now we are using pure Python for calculation results but would like to start using data analysis libraries such as Numpy and Pandas for faster compilations. To make multiple tests changing variables we will need to optimize our code/model with vectorization or with better data preparation in general. Each data entry in the database is approximately 30 seconds apart from each other. This means they should look like this (showing relevant values only). [ { date: '06/18/2019 20:00:00', data1: Number, data2: Number, ... }, { date: '06/18/2019 20:00:30', data1...

1. Be able to analyze data using Excel. 2. Be able to analyze data using Python libraries such as Pandas, Numpy. 3. Good knowledge in SQL. 4. Strong in data visualization tool Tableau.

I...data from TABLE1, puts it into a DataFrame and returns print(df) df = node.get_table2() #Does same for TABLE2... node.display_stat1() # Displays a matplotlib chart using data from the 23 tables Requirements: - Must use Python 3, latest version major / minor version - Adhere to well established Python naming conventions - Must use pandas. Additional SQL libraries are allowed (i.e. SQLAlchemy, NumPy) but methods must return DataFrames - Must connect to H2 database (I found this to not be easy, Postgres drivers may fail) - Must be packaged so that it can be rolled out and pip'd by others - All source code must be documented completely - A README must be provided with notes on how to use, any potential issues I will provide the database schema after I select the right perso...

Machine learning project for digit classification with K-nearest neighbor and Naive Bayes. This project is for creating image recognition system from MNIST dataset. Deliverable will be .ipynb file. Skillset required for this project: Python, Machine Learning, Numpy, matplotlib, sckitlearn, data preprocessing *NEED IT URGENTLY *See attachment (jupyter file)

Quido is fond of Apollonian gaskets. They are planar fractals generated from triples of circles, where each circle is tangent to the other two. In his drawing of the gasket, Quido starts with two externally tangent circles which diameter is D1 and D2. Then he adds a third circle which diameter is D1+D2 and to which the two original circles are internally tangent. This is the f...      Example 1 Input 17.000000 40.000000 1.000000 Output 2439.259 835.263   Example 2 Input 10.000000 10.000000 2.000000 Output 261.799 146.608     Example 3 Input 2.000000 50.000000 1.000000 Output 2066.462 408.747   Example 4 Input 1000.022000 811.047000 0.025000 Output 2575261.696 292760.964 P.S Code should be written with the help of ...

Quido is fond of Apollonian gaskets. They are planar fractals generated from triples of circles, where each circle is tangent to the other two. In his drawing of the gasket, Quido starts with two externally tangent circles which diameter is D1 and D2. Then he adds a third circle which diameter is D1+D2 and to which the two original circles are internally tangent. This is the first gener...      Example 1 Input 17.000000 40.000000 1.000000 Output 2439.259 835.263   Example 2 Input 10.000000 10.000000 2.000000 Output 261.799 146.608     Example 3 Input 2.000000 50.000000 1.000000 Output 2066.462 408.747   Example 4 Input 1000.022000 811.047000 0.025000 Output 2575261.696 292760.964 P.S Code should be written with th...

I need a script that connect each 5 minutes to and receive last trades of each pair with this information need to create a table : BINANCE+DATE+PAR () with this information must do each day a file of 24 hour and confirm the following information: price each minute buys volumen done each minute sells volumen d...BINANCE+DATE+PAR () with this information must do each day a file of 24 hour and confirm the following information: price each minute buys volumen done each minute sells volumen done each minute (in quote and in base) new columns with % variation in price between 5 minutes, 10 minutes, 15 minutes, 30 minutes, 6 minutes it´s only this table but good done please . only pandas, numpy and python I think should be enought

Our business provides kayak tours through Antelope Canyon on Lake Powell (Arizona). We named our company after the water moccasin snake, not because our clients encounter venomous snakes, but as a nod to our water activities and the Native American culture of the area. However, we would like to see a snake on the logo for a unique brand. We would also like to see water or a kayak represented on the logo. Logo should include company name: "Water Moccasin Premium Kayak Tours" or "Water Moccasin Tours." Original logo will be used on website and print materials. Future iterations of the logo will be used for t-shirts, brochures, and vehicle wrap. These future materials will, of course, pay an additional fee. We would love to work with a logo designer who is al...

I am looking for an expert Coach or Trainer with extensive experience in Big Data with Python Azure or AWS. Te right Freelancer will have to deliver training for one person within my organisation. The Expert must be experienced in developing: Serverless Components on AWS/Azure such as (e.g. Lambda, Dynamo, S3, Cognito, API Gateway, SNS, SQS) Or Experience with Hadoop, Scala, Spark, Panda, Numpy, ETC Any experience of Postman for handling API will also be a bonus. You must have at least 4-5 Years Experience Hands-on experience with Big Data, Python and Cloud Computing. The Training will be delivered remotely, through TV, AnyDesk Or Ultraviewrer. $300 USD every Month. This will spread for 3hrs for 3 times a week. Thanks,

Привет, Валентин. Я проект тут хочу начать: ПО для медицины. Есть набросок ТЗ. Проект desktop приложения на wxPython. Импорт-экспорт DICOM изображений и данных (через pydicom), обработка в numpy, БД на SQLite или MySQL. ТЗ разобъём на этапы, суммарно бюджет около 20 k$. Срок - от полугода, я буду активно помогать (сделал бы сам, но нет времени разбираться в тонкостях кода). Вам интересен такой проект?

There are 14 questions that needs to be done, requires Python, numpy, mathplot knowledge. Needs to be done within 3 days.

• Expertise in python with experience in libraries like NumPy, SciPy, spacy, rasa, nltk, keras, tensor flow, pyspark, scikit-learn, matplotlib, pandas, JupyterLab • Hands on experience using containers, big data platforms like Hadoop and Spark and/or cloud infrastructure covering technologies like HDFS, Hive, Impala, ElasticSearch, Docker, Kubernetes, Parquet, Avro, RDD • Hands on experience with relational SQL and no-sql database technologies like Oracle, HBase, Cassandra, SparkQL, SQL, ODBC, JDBC • Experience with logging and monitoring tools (ElasticSearch, Logstash, Kibana) and performance analysis • Experience with batch scheduling technologies like Control-M, Apache Airflow • Experience with REST web services and messaging technologies like M...

My company is looking for an individual with experience in Python's Matplotlib, Basemap, and NetCDF libraries to fix a satellite projection and data issu...Description: We are needing GOES-16 full disk satellite data to overlay our current basemap which covers the Atlantic, United States, Mexico, and Eastern Pacific. We are running into issues and you can see our map in the attachments. Issues Needing to Be Resolved: 1) Fixing satellite data and projection of the data. Skills Required: Intermediate Skills in the following are required: * Python 3.x * Numpy, Matplotlib, and Basemap * Data Visualization * NetCDF Data Plotting * Program Structure Must provide proof of plotting of this type of data in the proposal submitted. Payment: Fixed payment between $30-100 thr...

Hi Iuri T., two new videos are ready. I will email seperately about another project. Player Ha...Championship Venue: Taree Recreation Centre Date: May 10th- 12th, 2019 End Credits: Filmed in Taree New South Wales by Click InMotion. 2019 U18 Girls New South Wales Field State Championships, Held from May 10th – 12th Special Instructions; 1. Please include short corner footage from 0000 found between 0-30 seconds 2. Client favours content in 0009, the parts with ball contact Player Teagan Powell (red uniform) Shirt #7 Team: U18 South Australia Girls Event: 2019 Under 18 Australian Hockey Championship Venue: Tasmanian Hockey Centre Date: May 10th- 12th, 2019 End Credits: Filmed in Hobart Tasmania by Click InMotion. 2019 Under 18 Australian Hockey Championship, Held from April ...

Please build me an example in Python using numpy that is able to filter a signal according to the attached Laplace equations. Prove that it works using an impulse response which shows the same output as the second attachment.

My company is looking for an individual with experience in Python's Matplotlib and Basemap libraries using latitude and longitude. This individual will help us complete our project that is already in develop...from a single data file. The data file is created from an outside application. Issues Needing to Be Resolved: 1) Being able to plot multiple objects (Lines and markers) using a single data file. 2) Line plots are connecting to last line that was plotted. 3) Adding satellite data from an external data source (optional) Skills Needed: Intermediate Skills in the following: * Python 3.x * Numpy, Matplotlib, and Basemap * Data Visualization * Program Structure Optional Skills: * Meteorological Software Payment: Fixed payment between $30-250 due to the project n...

Please build me an example in Python using numpy that is able to filter a signal according to the attached Laplace equations. Prove that it works using an impulse response which shows the same output as the second attachment.

Looking for python programmer with knowledge of NumPy and Pandas

Got this task. It's based on python, should be fairly easy (examples given in the link aswell). For this I have bit of time ( till end of this week). Instructions for the task are given below. Let me know if you have any questions related to this one. Let me know your approach before you start this one? Thanks

to learn how to achieve rapid engineering solutions using Python libraries and functions readily available on the internet. The Python libraries include NumPy, SciPy, matplotlib, pandas, and scikit-learn for example. The focus is on rapid solutions on wall-clock time, not necessarily CPU time. At the end of this course, the student will have been exposed to wide variety of computational problems from engineering and physics and have become acquainted with a typical approach to their solution using Python

Linear regression in Python (Numpy, Scipy). I will share more information on chat.

You need to introduce numpy random delay & wait time while send request. Also, mouse interaction so that it seems real human. Within 1-2 hour you have to complete this today Thanks

Im looking to have a Buffalo Skull drawn in the style of the skeleton head in this Powell Peralta logo. We only need the skull and can add the elements at a later time but want the image to mimic the style in which the original was drawn in.

We need to detect where the right IDs must be placed in an array of noisy IDs Attached file includes details, solution and possible noisy scenarios to be solved. Numpy can be used

Write numpy IIR example based on Laplace transfer functions See attachment for equations and the parameters. I need the code running in readable numpy/scipy code that I can later port to ARM CMSIS-DSP code. The program needs to show an impulse response so that I can see the filter characteristics is as expected.

...algorithms, such as k-NN, Naive Bayes, SVM, Decision tree, clustering, artificial neural networks, GAN, genetic algorithms, etc.); • experience with deep learning; • experience with Reinforcement learning; • Experience of Natural Language Processing and in particular Information Extraction; • experience in standard technologies of data science (PyTorch, Pandas, Keras, SciPy, SciKit, Tensorflow, NumPy, MatLab, etc.); • Experience in creating data storage and processing architecture and knowledge (data architectures, data models, data warehouses / data lakes). • Knowledge of the semantic web Cognitive Systems Requirements: • successful experience in creating cognitive decision-making systems and knowledge representation (action selection, plannin...

...analysis and big data: • Experience with Machine Learning (techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision tree, clustering, artificial neural networks, etc.); • Deep Learning experience; • Experience of Natural Language Processing and in particular Information Extraction; • experience in standard technologies of data science (PyTorch, Pandas, Keras, SciPy, SciKit, Tensorflow, NumPy, MatLab, etc.); • Experience in creating data storage and processing architecture and knowledge (data architectures, data models, data warehouses / data lakes). Knowledge Engineering Specific Requirements: • experience with semantic web (SPARQL, Linkde data, RDF, OWL, SWRL, RuleML, etc.); • experience with ontologies; • experience and / or de...

Hi, we are looking for someone to take care of the development and maintenance of a backend system based on python, this backend does query data from different sources, does some calculations based on the data (using pandas and numpy) and expose the results as a restAPI using gunicorn and flask. The v1.0 of this system is already in place and you will be in charge of giving maintenance, continue with the development adding new modules, features and data sources and also giving client support when they report an issue with the system. The users of this system are in the middle east, being from the region and speak arab it's a plus! This is a full time job offer.

I'm looking for an expert in Web UX + Bootstrap + Flask + Python Numpy/Pandas DataFrames. We will re-architect a current Tool written in Python and Flask to be both more user friendly and to interact better with machine-learning base architectures.

...file: Your code should accept command line parameters. It should take one image file name as input, e.g. python3 Input image file will have fixed 20x20 size in grayscale. In the given dataset images are saved in the form of rows of 400 length. These rows can be converted into 20x20 grayscale images by using following python code. (You may import packages form numpy and matplotlib) (filename, (data).reshape(20,20).T,cmap="gray") In the example above data is the row data of X. for example X[0], X[3455] so on, “filename” is the name of the image file. It can be any name like “”, “” so on. Output of file: Output of your code should be the predicted digit. Only digit in one line must be written as output. Testing your code:

...parameters. It should take one image file name as input, e.g. python3 Input image file will have fixed 20x20 size in grayscale (similar to the one displayed in the class exercise). In the dataset images are saved in the form of rows of 400 length. These rows can be converted into 20x20 grayscale images by using following python code. (You may import packages form numpy and matplotlib) (filename, (data).reshape(20,20).T,cmap="gray") In the example above data is the row data of X. for example X[0], X[3455] so on, “filename” is the name of the image file. It can be any name like “”, “” so on. Output of file: Output of your code should be the predicted digit. Only digit in one line must be written as output. Testing your code:

Research into the following Python libraries for data analysis: Numpy, Pandas, MatPlotlib. You should look at tutorials on each of the libraries and implement your own examples using a selection of functions from each package. Code examples and data sets will make up part of your handup materials. You can choose to have one example using all the packages, or break it up into a number of smaller examples. Include in the report screenshots of application. Discuss any problems and the solutions to those problems, give your opinion on the packages. You can use whichever python editor you choose, for example: PyCharm, Anaconda, Jupyter, Spyder, WinPython, etc.. The report should be at least 20 pages and no more than 40 pages, Arial 12, 1.5 spacing. Please record a screencast demon...

implement image resizing using numpy and matplotlib and one similar question. should be easy if you have experience in image processing

background: I have ~100k images that I am doing deep learning on -images all stored in cloud, coded in python / keras I have built pipeline, but need assistance with a few steps: task list: -most efficient way of reviewing all images to filter out images of poor quality most efficient way to view a subset of images based on a set of conditions from a dataframe -converting images to numpy arrays or, preferably HDF5 databases -using iotop to monitor GPU usage please respond with cost and time estimate of undertaking this task, or any other further questions

EDA on Cancer Epidemiology Gather public health data from multiple sources and derive some insights on Cancer Epidemiology. You can start by finding correlations with well known aspects; For e.g., smoking, unhealthy lifestyle etc., and then try to find any other interesting findings that may stand out after analyzing any other unrelated aspects. For e.g., is there any correlation between weather of a place to cancer incidents? Fast food joints and cancer incidents etc.. Gathering Data: You have to collect data from multiple sources ( e.g., fast food sales may be from one source and cancer in a region from another source). Once collected you have to glean the information you need for analysis. Please refer to the list below for some possible sources. Although you are not required to...

...Ability to work independently on multiple tasks, interview other team members, and be an innovative thinker Technical Qualifications/Requirements: • Depending on position, candidates should have the below experience or a combination thereof: o Full stack developer o Can personally code and maintain strict project deadlines o Technical Knowledge of: MySQL, InnoDB Engine, Django, Python, Selenium, Numpy, Pandas, AWS, Java, ETL, Hadoop, Spark, Kafka o Database Architect experience o Caching, middleware or distributed servers o Former experience with large data sets, front end dashboarding, or development of trading platforms preferred though not all required • Visa sponsorship not available Compensation • This will be a contract to hire situation and will be depe...

It has to recognize the image from text using tensorflow, numpy , matlab libraries

I need help with some scripts I am working on. you must be very comfortable using Python and have a great knowledge of pandas.

We need a expert data science developer with knowledge of data science using python, numPy, statistics, Panda etc

Help with 2D numpy array with python